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Earnings data for a given company including the actual EPS, consensus, and fiscal period. Earnings are available quarterly (last 4 quarters) and annually (last 4 years).
https://iexcloud.io/docs/api/#earnings
Updates at 9am, 11am, 12pm UTC every day
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def earnings(symbol, token='', version=''):
_raiseIfNotStr(symbol)
return _getJson('stock/' + symbol + '/earnings', token, version)
| 312,764
|
Earnings data for a given company including the actual EPS, consensus, and fiscal period. Earnings are available quarterly (last 4 quarters) and annually (last 4 years).
https://iexcloud.io/docs/api/#earnings
Updates at 9am, 11am, 12pm UTC every day
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def earningsDF(symbol, token='', version=''):
e = earnings(symbol, token, version)
df = _earningsToDF(e)
return df
| 312,766
|
Returns earnings that will be reported today as two arrays: before the open bto and after market close amc.
Each array contains an object with all keys from earnings, a quote object, and a headline key.
https://iexcloud.io/docs/api/#earnings-today
Updates at 9am, 11am, 12pm UTC daily
Args:
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def earningsTodayDF(token='', version=''):
x = earningsToday(token, version)
z = []
for k in x:
ds = x[k]
for d in ds:
d['when'] = k
z.extend(ds)
df = pd.io.json.json_normalize(z)
if not df.empty:
df.drop_duplicates(inplace=True)
_toDatetime(df)
_reindex(df, 'symbol')
return df
| 312,767
|
Provides the latest consensus estimate for the next fiscal period
https://iexcloud.io/docs/api/#estimates
Updates at 9am, 11am, 12pm UTC every day
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def estimates(symbol, token='', version=''):
_raiseIfNotStr(symbol)
return _getJson('stock/' + symbol + '/estimates', token, version)
| 312,770
|
Provides the latest consensus estimate for the next fiscal period
https://iexcloud.io/docs/api/#estimates
Updates at 9am, 11am, 12pm UTC every day
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def estimatesDF(symbol, token='', version=''):
f = estimates(symbol, token, version)
df = _estimatesToDF(f)
return df
| 312,771
|
Pulls income statement, balance sheet, and cash flow data from the four most recent reported quarters.
https://iexcloud.io/docs/api/#financials
Updates at 8am, 9am UTC daily
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def financials(symbol, token='', version=''):
_raiseIfNotStr(symbol)
return _getJson('stock/' + symbol + '/financials', token, version)
| 312,772
|
Pulls income statement, balance sheet, and cash flow data from the four most recent reported quarters.
https://iexcloud.io/docs/api/#financials
Updates at 8am, 9am UTC daily
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def financialsDF(symbol, token='', version=''):
f = financials(symbol, token, version)
df = _financialsToDF(f)
return df
| 312,774
|
Pulls income statement data. Available quarterly (4 quarters) or annually (4 years).
https://iexcloud.io/docs/api/#income-statement
Updates at 8am, 9am UTC daily
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def incomeStatement(symbol, token='', version=''):
_raiseIfNotStr(symbol)
return _getJson('stock/' + symbol + '/income', token, version)
| 312,775
|
Pulls income statement data. Available quarterly (4 quarters) or annually (4 years).
https://iexcloud.io/docs/api/#income-statement
Updates at 8am, 9am UTC daily
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def incomeStatementDF(symbol, token='', version=''):
val = incomeStatement(symbol, token, version)
df = pd.io.json.json_normalize(val, 'income', 'symbol')
_toDatetime(df)
_reindex(df, 'reportDate')
return df
| 312,776
|
This returns a list of upcoming or today IPOs scheduled for the current and next month. The response is split into two structures:
rawData and viewData. rawData represents all available data for an IPO. viewData represents data structured for display to a user.
https://iexcloud.io/docs/api/#ipo-calendar
10am, 10:30am UTC daily
Args:
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def ipoTodayDF(token='', version=''):
val = ipoToday(token, version)
if val:
df = pd.io.json.json_normalize(val, 'rawData')
_toDatetime(df)
_reindex(df, 'symbol')
else:
df = pd.DataFrame()
return df
| 312,777
|
This returns a list of upcoming or today IPOs scheduled for the current and next month. The response is split into two structures:
rawData and viewData. rawData represents all available data for an IPO. viewData represents data structured for display to a user.
https://iexcloud.io/docs/api/#ipo-calendar
10am, 10:30am UTC daily
Args:
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def ipoUpcomingDF(token='', version=''):
val = ipoUpcoming(token, version)
if val:
df = pd.io.json.json_normalize(val, 'rawData')
_toDatetime(df)
_reindex(df, 'symbol')
else:
df = pd.DataFrame()
return df
| 312,778
|
Key Stats about company
https://iexcloud.io/docs/api/#key-stats
8am, 9am ET
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def keyStats(symbol, token='', version=''):
_raiseIfNotStr(symbol)
return _getJson('stock/' + symbol + '/stats', token, version)
| 312,779
|
Key Stats about company
https://iexcloud.io/docs/api/#key-stats
8am, 9am ET
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def keyStatsDF(symbol, token='', version=''):
s = keyStats(symbol, token, version)
df = _statsToDF(s)
return df
| 312,781
|
This returns 15 minute delayed, last sale eligible trades.
https://iexcloud.io/docs/api/#largest-trades
9:30-4pm ET M-F during regular market hours
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def largestTrades(symbol, token='', version=''):
_raiseIfNotStr(symbol)
return _getJson('stock/' + symbol + '/largest-trades', token, version)
| 312,782
|
This returns 15 minute delayed, last sale eligible trades.
https://iexcloud.io/docs/api/#largest-trades
9:30-4pm ET M-F during regular market hours
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def largestTradesDF(symbol, token='', version=''):
df = pd.DataFrame(largestTrades(symbol, token, version))
_toDatetime(df)
_reindex(df, 'time')
return df
| 312,783
|
Returns an array of quotes for the top 10 symbols in a specified list.
https://iexcloud.io/docs/api/#list
Updated intraday
Args:
option (string); Option to query
token (string); Access token
version (string); API version
Returns:
dict: result
|
def list(option='mostactive', token='', version=''):
if option not in _LIST_OPTIONS:
raise PyEXception('Option must be in %s' % str(_LIST_OPTIONS))
return _getJson('stock/market/list/' + option, token, version)
| 312,784
|
Returns an array of quotes for the top 10 symbols in a specified list.
https://iexcloud.io/docs/api/#list
Updated intraday
Args:
option (string); Option to query
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def listDF(option='mostactive', token='', version=''):
df = pd.DataFrame(list(option, token, version))
_toDatetime(df)
_reindex(df, 'symbol')
return df
| 312,785
|
This is a helper function, but the google APIs url is standardized.
https://iexcloud.io/docs/api/#logo
8am UTC daily
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def logo(symbol, token='', version=''):
_raiseIfNotStr(symbol)
return _getJson('stock/' + symbol + '/logo', token, version)
| 312,786
|
This is a helper function, but the google APIs url is standardized.
https://iexcloud.io/docs/api/#logo
8am UTC daily
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
image: result as png
|
def logoPNG(symbol, token='', version=''):
_raiseIfNotStr(symbol)
response = requests.get(logo(symbol, token, version)['url'])
return ImageP.open(BytesIO(response.content))
| 312,787
|
This is a helper function, but the google APIs url is standardized.
https://iexcloud.io/docs/api/#logo
8am UTC daily
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
image: result
|
def logoNotebook(symbol, token='', version=''):
_raiseIfNotStr(symbol)
url = logo(symbol, token, version)['url']
return ImageI(url=url)
| 312,788
|
News about company
https://iexcloud.io/docs/api/#news
Continuous
Args:
symbol (string); Ticker to request
count (int): limit number of results
token (string); Access token
version (string); API version
Returns:
dict: result
|
def news(symbol, count=10, token='', version=''):
_raiseIfNotStr(symbol)
return _getJson('stock/' + symbol + '/news/last/' + str(count), token, version)
| 312,789
|
News about company
https://iexcloud.io/docs/api/#news
Continuous
Args:
symbol (string); Ticker to request
count (int): limit number of results
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def newsDF(symbol, count=10, token='', version=''):
n = news(symbol, count, token, version)
df = _newsToDF(n)
return df
| 312,791
|
News about market
https://iexcloud.io/docs/api/#news
Continuous
Args:
count (int): limit number of results
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def marketNewsDF(count=10, token='', version=''):
df = pd.DataFrame(marketNews(count, token, version))
_toDatetime(df)
_reindex(df, 'datetime')
return df
| 312,792
|
Returns the official open and close for a give symbol.
https://iexcloud.io/docs/api/#news
9:30am-5pm ET Mon-Fri
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def ohlc(symbol, token='', version=''):
_raiseIfNotStr(symbol)
return _getJson('stock/' + symbol + '/ohlc', token, version)
| 312,793
|
Returns the official open and close for a give symbol.
https://iexcloud.io/docs/api/#news
9:30am-5pm ET Mon-Fri
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def ohlcDF(symbol, token='', version=''):
o = ohlc(symbol, token, version)
if o:
df = pd.io.json.json_normalize(o)
_toDatetime(df)
else:
df = pd.DataFrame()
return df
| 312,794
|
Returns the official open and close for whole market.
https://iexcloud.io/docs/api/#news
9:30am-5pm ET Mon-Fri
Args:
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def marketOhlcDF(token='', version=''):
x = marketOhlc(token, version)
data = []
for key in x:
data.append(x[key])
data[-1]['symbol'] = key
df = pd.io.json.json_normalize(data)
_toDatetime(df)
_reindex(df, 'symbol')
return df
| 312,795
|
Peers of ticker
https://iexcloud.io/docs/api/#peers
8am UTC daily
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def peers(symbol, token='', version=''):
_raiseIfNotStr(symbol)
return _getJson('stock/' + symbol + '/peers', token, version)
| 312,796
|
Peers of ticker
https://iexcloud.io/docs/api/#peers
8am UTC daily
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def peersDF(symbol, token='', version=''):
p = peers(symbol, token, version)
df = _peersToDF(p)
return df
| 312,798
|
This returns previous day adjusted price data for one or more stocks
https://iexcloud.io/docs/api/#previous-day-prices
Available after 4am ET Tue-Sat
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def yesterday(symbol, token='', version=''):
_raiseIfNotStr(symbol)
return _getJson('stock/' + symbol + '/previous', token, version)
| 312,799
|
This returns previous day adjusted price data for one or more stocks
https://iexcloud.io/docs/api/#previous-day-prices
Available after 4am ET Tue-Sat
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def yesterdayDF(symbol, token='', version=''):
y = yesterday(symbol, token, version)
if y:
df = pd.io.json.json_normalize(y)
_toDatetime(df)
_reindex(df, 'symbol')
else:
df = pd.DataFrame()
return df
| 312,800
|
This returns previous day adjusted price data for whole market
https://iexcloud.io/docs/api/#previous-day-prices
Available after 4am ET Tue-Sat
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def marketYesterdayDF(token='', version=''):
x = marketYesterday(token, version)
data = []
for key in x:
data.append(x[key])
data[-1]['symbol'] = key
df = pd.DataFrame(data)
_toDatetime(df)
_reindex(df, 'symbol')
return df
| 312,801
|
Price of ticker
https://iexcloud.io/docs/api/#price
4:30am-8pm ET Mon-Fri
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def price(symbol, token='', version=''):
_raiseIfNotStr(symbol)
return _getJson('stock/' + symbol + '/price', token, version)
| 312,802
|
Price of ticker
https://iexcloud.io/docs/api/#price
4:30am-8pm ET Mon-Fri
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def priceDF(symbol, token='', version=''):
df = pd.io.json.json_normalize({'price': price(symbol, token, version)})
_toDatetime(df)
return df
| 312,803
|
Provides the latest avg, high, and low analyst price target for a symbol.
https://iexcloud.io/docs/api/#price-target
Updates at 10am, 11am, 12pm UTC every day
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def priceTarget(symbol, token='', version=''):
_raiseIfNotStr(symbol)
return _getJson('stock/' + symbol + '/price-target', token, version)
| 312,804
|
Provides the latest avg, high, and low analyst price target for a symbol.
https://iexcloud.io/docs/api/#price-target
Updates at 10am, 11am, 12pm UTC every day
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def priceTargetDF(symbol, token='', version=''):
df = pd.io.json.json_normalize(priceTarget(symbol, token, version))
_toDatetime(df)
return df
| 312,805
|
Get quote for ticker
https://iexcloud.io/docs/api/#quote
4:30am-8pm ET Mon-Fri
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def quote(symbol, token='', version=''):
_raiseIfNotStr(symbol)
return _getJson('stock/' + symbol + '/quote', token, version)
| 312,806
|
Get quote for ticker
https://iexcloud.io/docs/api/#quote
4:30am-8pm ET Mon-Fri
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def quoteDF(symbol, token='', version=''):
q = quote(symbol, token, version)
if q:
df = pd.io.json.json_normalize(q)
_toDatetime(df)
_reindex(df, 'symbol')
else:
df = pd.DataFrame()
return df
| 312,807
|
Same as peers
https://iexcloud.io/docs/api/#relevant
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def relevant(symbol, token='', version=''):
_raiseIfNotStr(symbol)
return _getJson('stock/' + symbol + '/relevant', token, version)
| 312,808
|
Same as peers
https://iexcloud.io/docs/api/#relevant
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def relevantDF(symbol, token='', version=''):
df = pd.DataFrame(relevant(symbol, token, version))
_toDatetime(df)
return df
| 312,809
|
This returns an array of each sector and performance for the current trading day. Performance is based on each sector ETF.
https://iexcloud.io/docs/api/#sector-performance
8am-5pm ET Mon-Fri
Args:
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def sectorPerformanceDF(token='', version=''):
df = pd.DataFrame(sectorPerformance(token, version))
_toDatetime(df)
_reindex(df, 'name')
return df
| 312,810
|
Stock split history
https://iexcloud.io/docs/api/#splits
Updated at 9am UTC every day
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def splitsDF(symbol, timeframe='ytd', token='', version=''):
s = splits(symbol, timeframe, token, version)
df = _splitsToDF(s)
return df
| 312,812
|
This returns 15 minute delayed and 30 day average consolidated volume percentage of a stock, by market.
This call will always return 13 values, and will be sorted in ascending order by current day trading volume percentage.
https://iexcloud.io/docs/api/#volume-by-venue
Updated during regular market hours 9:30am-4pm ET
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def volumeByVenue(symbol, token='', version=''):
_raiseIfNotStr(symbol)
return _getJson('stock/' + symbol + '/volume-by-venue', token, version)
| 312,813
|
The consolidated market short interest positions in all IEX-listed securities are included in the IEX Short Interest Report.
The report data will be published daily at 4:00pm ET.
https://iexcloud.io/docs/api/#listed-short-interest-list-in-dev
Args:
symbol (string); Ticker to request
date (datetime); Effective Datetime
token (string); Access token
version (string); API version
Returns:
dict: result
|
def shortInterest(symbol, date=None, token='', version=''):
_raiseIfNotStr(symbol)
if date:
date = _strOrDate(date)
return _getJson('stock/' + symbol + '/short-interest/' + date, token, version)
return _getJson('stock/' + symbol + '/short-interest', token, version)
| 312,817
|
The consolidated market short interest positions in all IEX-listed securities are included in the IEX Short Interest Report.
The report data will be published daily at 4:00pm ET.
https://iexcloud.io/docs/api/#listed-short-interest-list-in-dev
Args:
symbol (string); Ticker to request
date (datetime); Effective Datetime
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def shortInterestDF(symbol, date=None, token='', version=''):
df = pd.DataFrame(shortInterest(symbol, date, token, version))
_toDatetime(df)
return df
| 312,818
|
The consolidated market short interest positions in all IEX-listed securities are included in the IEX Short Interest Report.
The report data will be published daily at 4:00pm ET.
https://iexcloud.io/docs/api/#listed-short-interest-list-in-dev
Args:
date (datetime); Effective Datetime
token (string); Access token
version (string); API version
Returns:
dict: result
|
def marketShortInterest(date=None, token='', version=''):
if date:
date = _strOrDate(date)
return _getJson('stock/market/short-interest/' + date, token, version)
return _getJson('stock/market/short-interest', token, version)
| 312,819
|
The consolidated market short interest positions in all IEX-listed securities are included in the IEX Short Interest Report.
The report data will be published daily at 4:00pm ET.
https://iexcloud.io/docs/api/#listed-short-interest-list-in-dev
Args:
date (datetime); Effective Datetime
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def marketShortInterestDF(date=None, token='', version=''):
df = pd.DataFrame(marketShortInterest(date, token, version))
_toDatetime(df)
return df
| 312,820
|
TOPS provides IEX’s aggregated best quoted bid and offer position in near real time for all securities on IEX’s displayed limit order book.
TOPS is ideal for developers needing both quote and trade data.
https://iexcloud.io/docs/api/#tops
Args:
symbols (string); Tickers to request
on_data (function): Callback on data
token (string); Access token
version (string); API version
|
def topsSSE(symbols=None, on_data=None, token='', version=''):
return _runSSE('tops', symbols, on_data, token, version)
| 312,825
|
Last provides trade data for executions on IEX. It is a near real time, intraday API that provides IEX last sale price, size and time.
Last is ideal for developers that need a lightweight stock quote.
https://iexcloud.io/docs/api/#last
Args:
symbols (string); Tickers to request
on_data (function): Callback on data
token (string); Access token
version (string); API version
|
def lastSSE(symbols=None, on_data=None, token='', version=''):
return _runSSE('last', symbols, on_data, token, version)
| 312,826
|
Trade report messages are sent when an order on the IEX Order Book is executed in whole or in part. DEEP sends a Trade report message for every individual fill.
https://iexcloud.io/docs/api/#deep-trades
Args:
symbols (string); Tickers to request
on_data (function): Callback on data
token (string); Access token
version (string); API version
|
def tradesSSE(symbols=None, on_data=None, token='', version=''):
symbols = _strCommaSeparatedString(symbols)
return _streamSSE(_SSE_DEEP_URL_PREFIX.format(symbols=symbols, channels='trades', token=token, version=version), on_data)
| 312,828
|
Book shows IEX’s bids and asks for given symbols.
https://iexcloud.io/docs/api/#deep-book
Args:
symbols (string); Tickers to request
on_data (function): Callback on data
token (string); Access token
version (string); API version
|
def bookSSE(symbols=None, on_data=None, token='', version=''):
return _runSSE('book', symbols, on_data, token, version)
| 312,830
|
The Official Price message is used to disseminate the IEX Official Opening and Closing Prices.
These messages will be provided only for IEX Listed Securities.
https://iexcloud.io/docs/api/#deep-official-price
Args:
symbols (string); Tickers to request
on_data (function): Callback on data
token (string); Access token
version (string); API version
|
def officialPriceSSE(symbols=None, on_data=None, token='', version=''):
return _runSSE('official-price', symbols, on_data, token, version)
| 312,832
|
The Security event message is used to indicate events that apply to a security. A Security event message will be sent whenever such event occurs
https://iexcloud.io/docs/api/#deep-security-event
Args:
symbols (string); Tickers to request
on_data (function): Callback on data
token (string); Access token
version (string); API version
|
def securityEventSSE(symbols=None, on_data=None, token='', version=''):
return _runSSE('security-event', symbols, on_data, token, version)
| 312,833
|
The System event message is used to indicate events that apply to the market or the data feed.
There will be a single message disseminated per channel for each System Event type within a given trading session.
https://iexcloud.io/docs/api/#deep-system-event
Args:
symbols (string); Tickers to request
on_data (function): Callback on data
token (string); Access token
version (string); API version
|
def systemEventSSE(symbols=None, on_data=None, token='', version=''):
return _runSSE('system-event', symbols, on_data, token, version)
| 312,835
|
Trade report messages are sent when an order on the IEX Order Book is executed in whole or in part. DEEP sends a Trade report message for every individual fill.
https://iexcloud.io/docs/api/#deep-trades
Args:
symbols (string); Tickers to request
on_data (function): Callback on data
token (string); Access token
version (string); API version
|
def tradeBreaksSSE(symbols=None, on_data=None, token='', version=''):
return _runSSE('trade-breaks', symbols, on_data, token, version)
| 312,836
|
This will return an array of quotes for all Cryptocurrencies supported by the IEX API. Each element is a standard quote object with four additional keys.
https://iexcloud.io/docs/api/#crypto
Args:
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def cryptoDF(token='', version=''):
df = pd.DataFrame(crypto(token, version))
_toDatetime(df)
_reindex(df, 'symbol')
return df
| 312,838
|
This endpoint provides social sentiment data from StockTwits. Data can be viewed as a daily value, or by minute for a given date.
https://iexcloud.io/docs/api/#social-sentiment
Continuous
Args:
symbol (string); Ticker to request
type (string); 'daily' or 'minute'
date (string); date in YYYYMMDD or datetime
token (string); Access token
version (string); API version
Returns:
dict: result
|
def sentiment(symbol, type='daily', date=None, token='', version=''):
_raiseIfNotStr(symbol)
if date:
date = _strOrDate(date)
return _getJson('stock/{symbol}/sentiment/{type}/{date}'.format(symbol=symbol, type=type, date=date), token, version)
return _getJson('stock/{symbol}/sentiment/{type}/'.format(symbol=symbol, type=type), token, version)
| 312,839
|
This endpoint provides social sentiment data from StockTwits. Data can be viewed as a daily value, or by minute for a given date.
https://iexcloud.io/docs/api/#social-sentiment
Continuous
Args:
symbol (string); Ticker to request
type (string); 'daily' or 'minute'
date (string); date in YYYYMMDD or datetime
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def sentimentDF(symbol, type='daily', date=None, token='', version=''):
ret = sentiment(symbol, type, date, token, version)
if type == 'daiy':
ret = [ret]
df = pd.DataFrame(ret)
_toDatetime(df)
return df
| 312,840
|
https://iexcloud.io/docs/api/#stats-intraday
Args:
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def statsDF(token='', version=''):
df = pd.DataFrame(stats(token, version))
_toDatetime(df)
return df
| 312,841
|
https://iexcloud.io/docs/api/#stats-recent
Args:
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def recentDF(token='', version=''):
df = pd.DataFrame(recent(token, version))
_toDatetime(df)
_reindex(df, 'date')
return df
| 312,842
|
https://iexcloud.io/docs/api/#stats-records
Args:
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def recordsDF(token='', version=''):
df = pd.DataFrame(records(token, version))
_toDatetime(df)
return df
| 312,843
|
https://iexcloud.io/docs/api/#stats-historical-summary
Args:
token (string); Access token
version (string); API version
Returns:
dict: result
|
def summary(date=None, token='', version=''):
if date:
if isinstance(date, str):
return _getJson('stats/historical?date=' + date, token, version)
elif isinstance(date, datetime):
return _getJson('stats/historical?date=' + date.strftime('%Y%m'), token, version)
else:
raise PyEXception("Can't handle type : %s" % str(type(date)), token, version)
return _getJson('stats/historical', token, version)
| 312,844
|
https://iexcloud.io/docs/api/#stats-historical-summary
Args:
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def summaryDF(date=None, token='', version=''):
df = pd.DataFrame(summary(date, token, version))
_toDatetime(df)
return df
| 312,845
|
https://iexcloud.io/docs/api/#stats-historical-daily
Args:
token (string); Access token
version (string); API version
Returns:
dict: result
|
def daily(date=None, last='', token='', version=''):
if date:
date = _strOrDate(date)
return _getJson('stats/historical/daily?date=' + date, token, version)
elif last:
return _getJson('stats/historical/daily?last=' + last, token, version)
return _getJson('stats/historical/daily', token, version)
| 312,846
|
https://iexcloud.io/docs/api/#stats-historical-daily
Args:
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def dailyDF(date=None, last='', token='', version=''):
df = pd.DataFrame(daily(date, last, token, version))
_toDatetime(df)
return df
| 312,847
|
TOPS provides IEX’s aggregated best quoted bid and offer position in near real time for all securities on IEX’s displayed limit order book.
TOPS is ideal for developers needing both quote and trade data.
https://iexcloud.io/docs/api/#tops
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def tops(symbols=None, token='', version=''):
symbols = _strToList(symbols)
if symbols:
return _getJson('tops?symbols=' + ','.join(symbols) + '%2b', token, version)
return _getJson('tops', token, version)
| 312,860
|
TOPS provides IEX’s aggregated best quoted bid and offer position in near real time for all securities on IEX’s displayed limit order book.
TOPS is ideal for developers needing both quote and trade data.
https://iexcloud.io/docs/api/#tops
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def topsDF(symbols=None, token='', version=''):
df = pd.io.json.json_normalize(tops(symbols, token, version))
_toDatetime(df)
_reindex(df, 'symbol')
return df
| 312,861
|
Last provides trade data for executions on IEX. It is a near real time, intraday API that provides IEX last sale price, size and time.
Last is ideal for developers that need a lightweight stock quote.
https://iexcloud.io/docs/api/#last
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def last(symbols=None, token='', version=''):
symbols = _strToList(symbols)
if symbols:
return _getJson('tops/last?symbols=' + ','.join(symbols) + '%2b', token, version)
return _getJson('tops/last', token, version)
| 312,862
|
Last provides trade data for executions on IEX. It is a near real time, intraday API that provides IEX last sale price, size and time.
Last is ideal for developers that need a lightweight stock quote.
https://iexcloud.io/docs/api/#last
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def lastDF(symbols=None, token='', version=''):
df = pd.io.json.json_normalize(last(symbols, token, version))
_toDatetime(df)
_reindex(df, 'symbol')
return df
| 312,863
|
DEEP broadcasts an Auction Information Message every one second between the Lock-in Time and the auction match for Opening and Closing Auctions,
and during the Display Only Period for IPO, Halt, and Volatility Auctions. Only IEX listed securities are eligible for IEX Auctions.
https://iexcloud.io/docs/api/#deep-auction
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def auction(symbol=None, token='', version=''):
_raiseIfNotStr(symbol)
if symbol:
return _getJson('deep/auction?symbols=' + symbol, token, version)
return _getJson('deep/auction', token, version)
| 312,866
|
DEEP broadcasts an Auction Information Message every one second between the Lock-in Time and the auction match for Opening and Closing Auctions,
and during the Display Only Period for IPO, Halt, and Volatility Auctions. Only IEX listed securities are eligible for IEX Auctions.
https://iexcloud.io/docs/api/#deep-auction
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def auctionDF(symbol=None, token='', version=''):
df = pd.io.json.json_normalize(auction(symbol, token, version))
_toDatetime(df)
return df
| 312,867
|
Book shows IEX’s bids and asks for given symbols.
https://iexcloud.io/docs/api/#deep-book
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def book(symbol=None, token='', version=''):
_raiseIfNotStr(symbol)
if symbol:
return _getJson('deep/book?symbols=' + symbol, token, version)
return _getJson('deep/book', token, version)
| 312,868
|
Book shows IEX’s bids and asks for given symbols.
https://iexcloud.io/docs/api/#deep-book
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def bookDF(symbol=None, token='', version=''):
x = book(symbol, token, version)
data = []
for key in x:
d = x[key]
d['symbol'] = key
data.append(d)
df = pd.io.json.json_normalize(data)
_toDatetime(df)
return df
| 312,869
|
The Official Price message is used to disseminate the IEX Official Opening and Closing Prices.
These messages will be provided only for IEX Listed Securities.
https://iexcloud.io/docs/api/#deep-official-price
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def officialPrice(symbol=None, token='', version=''):
_raiseIfNotStr(symbol)
if symbol:
return _getJson('deep/official-price?symbols=' + symbol, token, version)
return _getJson('deep/official-price', token, version)
| 312,872
|
The Official Price message is used to disseminate the IEX Official Opening and Closing Prices.
These messages will be provided only for IEX Listed Securities.
https://iexcloud.io/docs/api/#deep-official-price
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def officialPriceDF(symbol=None, token='', version=''):
df = pd.io.json.json_normalize(officialPrice(symbol, token, version))
_toDatetime(df)
return df
| 312,873
|
The Security event message is used to indicate events that apply to a security. A Security event message will be sent whenever such event occurs
https://iexcloud.io/docs/api/#deep-security-event
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def securityEvent(symbol=None, token='', version=''):
_raiseIfNotStr(symbol)
if symbol:
return _getJson('deep/security-event?symbols=' + symbol, token, version)
return _getJson('deep/security-event', token, version)
| 312,874
|
The Security event message is used to indicate events that apply to a security. A Security event message will be sent whenever such event occurs
https://iexcloud.io/docs/api/#deep-security-event
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def securityEventDF(symbol=None, token='', version=''):
x = securityEvent(symbol, token, version)
data = []
for key in x:
d = x[key]
d['symbol'] = key
data.append(d)
df = pd.DataFrame(data)
_toDatetime(df)
return df
| 312,875
|
The System event message is used to indicate events that apply to the market or the data feed.
There will be a single message disseminated per channel for each System Event type within a given trading session.
https://iexcloud.io/docs/api/#deep-system-event
Args:
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def systemEventDF(token='', version=''):
df = pd.io.json.json_normalize(systemEvent(token, version))
_toDatetime(df)
return df
| 312,878
|
Trade report messages are sent when an order on the IEX Order Book is executed in whole or in part. DEEP sends a Trade report message for every individual fill.
https://iexcloud.io/docs/api/#deep-trades
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def trades(symbol=None, token='', version=''):
_raiseIfNotStr(symbol)
if symbol:
return _getJson('deep/trades?symbols=' + symbol, token, version)
return _getJson('deep/trades', token, version)
| 312,879
|
Trade report messages are sent when an order on the IEX Order Book is executed in whole or in part. DEEP sends a Trade report message for every individual fill.
https://iexcloud.io/docs/api/#deep-trades
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def tradesDF(symbol=None, token='', version=''):
x = trades(symbol, token, version)
data = []
for key in x:
dat = x[key]
for d in dat:
d['symbol'] = key
data.append(d)
df = pd.DataFrame(data)
_toDatetime(df)
return df
| 312,880
|
Trade break messages are sent when an execution on IEX is broken on that same trading day. Trade breaks are rare and only affect applications that rely upon IEX execution based data.
https://iexcloud.io/docs/api/#deep-trade-break
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
dict: result
|
def tradeBreak(symbol=None, token='', version=''):
_raiseIfNotStr(symbol)
if symbol:
return _getJson('deep/trade-breaks?symbols=' + symbol, token, version)
return _getJson('deep/trade-breaks', token, version)
| 312,881
|
Trade break messages are sent when an execution on IEX is broken on that same trading day. Trade breaks are rare and only affect applications that rely upon IEX execution based data.
https://iexcloud.io/docs/api/#deep-trade-break
Args:
symbol (string); Ticker to request
token (string); Access token
version (string); API version
Returns:
DataFrame: result
|
def tradeBreakDF(symbol=None, token='', version=''):
df = pd.io.json.json_normalize(tradeBreak(symbol, token, version))
_toDatetime(df)
return df
| 312,882
|
Use pkg-config to query for the location of libraries, library directories,
and header directories
Arguments:
pkg_libries(list): A list of packages as strings
Returns:
libraries(list), library_dirs(list), include_dirs(list)
|
def pkg_config(pkg_libraries):
libraries=[]
library_dirs=[]
include_dirs=[]
# Check that we have the packages
for pkg in pkg_libraries:
if os.system('pkg-config --exists %s 2>/dev/null' % pkg) == 0:
pass
else:
print("Could not find library {0}".format(pkg))
sys.exit(1)
# Get the pck-config flags
if len(pkg_libraries)>0 :
# PKG_CONFIG_ALLOW_SYSTEM_CFLAGS explicitly lists system paths.
# On system-wide LAL installs, this is needed for swig to find lalswig.i
for token in getoutput("PKG_CONFIG_ALLOW_SYSTEM_CFLAGS=1 pkg-config --libs --cflags %s" % ' '.join(pkg_libraries)).split():
if token.startswith("-l"):
libraries.append(token[2:])
elif token.startswith("-L"):
library_dirs.append(token[2:])
elif token.startswith("-I"):
include_dirs.append(token[2:])
return libraries, library_dirs, include_dirs
| 314,523
|
Converts to :class:`google.oauth2.credentials.Credentials`.
Args:
credentials (Union[oauth2client.client.OAuth2Credentials,
oauth2client.client.GoogleCredentials]): The credentials to
convert.
Returns:
google.oauth2.credentials.Credentials: The converted credentials.
|
def _convert_oauth2_credentials(credentials):
new_credentials = google.oauth2.credentials.Credentials(
token=credentials.access_token,
refresh_token=credentials.refresh_token,
token_uri=credentials.token_uri,
client_id=credentials.client_id,
client_secret=credentials.client_secret,
scopes=credentials.scopes)
new_credentials._expires = credentials.token_expiry
return new_credentials
| 315,019
|
Converts to :class:`google.oauth2.service_account.Credentials`.
Args:
credentials (Union[
oauth2client.service_account.ServiceAccountCredentials,
oauth2client.service_account._JWTAccessCredentials]): The
credentials to convert.
Returns:
google.oauth2.service_account.Credentials: The converted credentials.
|
def _convert_service_account_credentials(credentials):
info = credentials.serialization_data.copy()
info['token_uri'] = credentials.token_uri
return google.oauth2.service_account.Credentials.from_service_account_info(
info)
| 315,020
|
Converts to :class:`google.auth.app_engine.Credentials`.
Args:
credentials (oauth2client.contrib.app_engine.AppAssertionCredentials):
The credentials to convert.
Returns:
google.oauth2.service_account.Credentials: The converted credentials.
|
def _convert_appengine_app_assertion_credentials(credentials):
# pylint: disable=invalid-name
return google.auth.app_engine.Credentials(
scopes=_helpers.string_to_scopes(credentials.scope),
service_account_id=credentials.service_account_id)
| 315,021
|
Updates credentials with a new access_token representing
the impersonated account.
Args:
request (google.auth.transport.requests.Request): Request object
to use for refreshing credentials.
|
def _update_token(self, request):
# Refresh our source credentials.
self._source_credentials.refresh(request)
body = {
"delegates": self._delegates,
"scope": self._target_scopes,
"lifetime": str(self._lifetime) + "s"
}
headers = {
'Content-Type': 'application/json',
}
# Apply the source credentials authentication info.
self._source_credentials.apply(headers)
self.token, self.expiry = _make_iam_token_request(
request=request,
principal=self._target_principal,
headers=headers,
body=body)
| 315,025
|
Fetches certificates.
Google-style cerificate endpoints return JSON in the format of
``{'key id': 'x509 certificate'}``.
Args:
request (google.auth.transport.Request): The object used to make
HTTP requests.
certs_url (str): The certificate endpoint URL.
Returns:
Mapping[str, str]: A mapping of public key ID to x.509 certificate
data.
|
def _fetch_certs(request, certs_url):
response = request(certs_url, method='GET')
if response.status != http_client.OK:
raise exceptions.TransportError(
'Could not fetch certificates at {}'.format(certs_url))
return json.loads(response.data.decode('utf-8'))
| 315,030
|
Verifies an ID Token issued by Google's OAuth 2.0 authorization server.
Args:
id_token (Union[str, bytes]): The encoded token.
request (google.auth.transport.Request): The object used to make
HTTP requests.
audience (str): The audience that this token is intended for. This is
typically your application's OAuth 2.0 client ID. If None then the
audience is not verified.
Returns:
Mapping[str, Any]: The decoded token.
|
def verify_oauth2_token(id_token, request, audience=None):
return verify_token(
id_token, request, audience=audience,
certs_url=_GOOGLE_OAUTH2_CERTS_URL)
| 315,032
|
Verifies an ID Token issued by Firebase Authentication.
Args:
id_token (Union[str, bytes]): The encoded token.
request (google.auth.transport.Request): The object used to make
HTTP requests.
audience (str): The audience that this token is intended for. This is
typically your Firebase application ID. If None then the audience
is not verified.
Returns:
Mapping[str, Any]: The decoded token.
|
def verify_firebase_token(id_token, request, audience=None):
return verify_token(
id_token, request, audience=audience, certs_url=_GOOGLE_APIS_CERTS_URL)
| 315,033
|
Make a signed JWT.
Args:
signer (google.auth.crypt.Signer): The signer used to sign the JWT.
payload (Mapping[str, str]): The JWT payload.
header (Mapping[str, str]): Additional JWT header payload.
key_id (str): The key id to add to the JWT header. If the
signer has a key id it will be used as the default. If this is
specified it will override the signer's key id.
Returns:
bytes: The encoded JWT.
|
def encode(signer, payload, header=None, key_id=None):
if header is None:
header = {}
if key_id is None:
key_id = signer.key_id
header.update({'typ': 'JWT', 'alg': 'RS256'})
if key_id is not None:
header['kid'] = key_id
segments = [
_helpers.unpadded_urlsafe_b64encode(
json.dumps(header).encode('utf-8')
),
_helpers.unpadded_urlsafe_b64encode(
json.dumps(payload).encode('utf-8')
),
]
signing_input = b'.'.join(segments)
signature = signer.sign(signing_input)
segments.append(
_helpers.unpadded_urlsafe_b64encode(signature)
)
return b'.'.join(segments)
| 315,034
|
Decodes a token and does no verification.
Args:
token (Union[str, bytes]): The encoded JWT.
Returns:
Tuple[str, str, str, str]: header, payload, signed_section, and
signature.
Raises:
ValueError: if there are an incorrect amount of segments in the token.
|
def _unverified_decode(token):
token = _helpers.to_bytes(token)
if token.count(b'.') != 2:
raise ValueError(
'Wrong number of segments in token: {0}'.format(token))
encoded_header, encoded_payload, signature = token.split(b'.')
signed_section = encoded_header + b'.' + encoded_payload
signature = _helpers.padded_urlsafe_b64decode(signature)
# Parse segments
header = _decode_jwt_segment(encoded_header)
payload = _decode_jwt_segment(encoded_payload)
return header, payload, signed_section, signature
| 315,036
|
Verifies the ``iat`` (Issued At) and ``exp`` (Expires) claims in a token
payload.
Args:
payload (Mapping[str, str]): The JWT payload.
Raises:
ValueError: if any checks failed.
|
def _verify_iat_and_exp(payload):
now = _helpers.datetime_to_secs(_helpers.utcnow())
# Make sure the iat and exp claims are present.
for key in ('iat', 'exp'):
if key not in payload:
raise ValueError(
'Token does not contain required claim {}'.format(key))
# Make sure the token wasn't issued in the future.
iat = payload['iat']
# Err on the side of accepting a token that is slightly early to account
# for clock skew.
earliest = iat - _helpers.CLOCK_SKEW_SECS
if now < earliest:
raise ValueError('Token used too early, {} < {}'.format(now, iat))
# Make sure the token wasn't issued in the past.
exp = payload['exp']
# Err on the side of accepting a token that is slightly out of date
# to account for clow skew.
latest = exp + _helpers.CLOCK_SKEW_SECS
if latest < now:
raise ValueError('Token expired, {} < {}'.format(latest, now))
| 315,037
|
Creates a Credentials instance from a signer and service account
info.
Args:
signer (google.auth.crypt.Signer): The signer used to sign JWTs.
info (Mapping[str, str]): The service account info.
kwargs: Additional arguments to pass to the constructor.
Returns:
google.auth.jwt.Credentials: The constructed credentials.
Raises:
ValueError: If the info is not in the expected format.
|
def _from_signer_and_info(cls, signer, info, **kwargs):
kwargs.setdefault('subject', info['client_email'])
kwargs.setdefault('issuer', info['client_email'])
return cls(signer, **kwargs)
| 315,040
|
Get a JWT For a given audience.
If there is already an existing, non-expired token in the cache for
the audience, that token is used. Otherwise, a new token will be
created.
Args:
audience (str): The intended audience.
Returns:
bytes: The encoded JWT.
|
def _get_jwt_for_audience(self, audience):
token, expiry = self._cache.get(audience, (None, None))
if token is None or expiry < _helpers.utcnow():
token, expiry = self._make_jwt_for_audience(audience)
self._cache[audience] = token, expiry
return token
| 315,046
|
Performs credential-specific before request logic.
Args:
request (Any): Unused. JWT credentials do not need to make an
HTTP request to refresh.
method (str): The request's HTTP method.
url (str): The request's URI. This is used as the audience claim
when generating the JWT.
headers (Mapping): The request's headers.
|
def before_request(self, request, method, url, headers):
# pylint: disable=unused-argument
# (pylint doesn't correctly recognize overridden methods.)
parts = urllib.parse.urlsplit(url)
# Strip query string and fragment
audience = urllib.parse.urlunsplit(
(parts.scheme, parts.netloc, parts.path, "", ""))
token = self._get_jwt_for_audience(audience)
self.apply(headers, token=token)
| 315,047
|
Construct an Verifier instance from a public key or public
certificate string.
Args:
public_key (Union[str, bytes]): The public key in PEM format or the
x509 public key certificate.
Returns:
Verifier: The constructed verifier.
Raises:
ValueError: If the public key can't be parsed.
|
def from_string(cls, public_key):
public_key_data = _helpers.to_bytes(public_key)
if _CERTIFICATE_MARKER in public_key_data:
cert = cryptography.x509.load_pem_x509_certificate(
public_key_data, _BACKEND)
pubkey = cert.public_key()
else:
pubkey = serialization.load_pem_public_key(
public_key_data, _BACKEND)
return cls(pubkey)
| 315,049
|
Creates a Credentials instance from a signer and service account
info.
Args:
signer (google.auth.crypt.Signer): The signer used to sign JWTs.
info (Mapping[str, str]): The service account info.
kwargs: Additional arguments to pass to the constructor.
Returns:
google.auth.jwt.Credentials: The constructed credentials.
Raises:
ValueError: If the info is not in the expected format.
|
def _from_signer_and_info(cls, signer, info, **kwargs):
return cls(
signer,
service_account_email=info['client_email'],
token_uri=info['token_uri'],
project_id=info.get('project_id'), **kwargs)
| 315,066
|
Creates a Credentials instance from parsed service account info.
Args:
info (Mapping[str, str]): The service account info in Google
format.
kwargs: Additional arguments to pass to the constructor.
Returns:
google.auth.service_account.Credentials: The constructed
credentials.
Raises:
ValueError: If the info is not in the expected format.
|
def from_service_account_info(cls, info, **kwargs):
signer = _service_account_info.from_dict(
info, require=['client_email', 'token_uri'])
return cls._from_signer_and_info(signer, info, **kwargs)
| 315,067
|
Creates a Credentials instance from a service account json file.
Args:
filename (str): The path to the service account json file.
kwargs: Additional arguments to pass to the constructor.
Returns:
google.auth.service_account.Credentials: The constructed
credentials.
|
def from_service_account_file(cls, filename, **kwargs):
info, signer = _service_account_info.from_filename(
filename, require=['client_email', 'token_uri'])
return cls._from_signer_and_info(signer, info, **kwargs)
| 315,068
|
Create a copy of these credentials with the specified subject.
Args:
subject (str): The subject claim.
Returns:
google.auth.service_account.Credentials: A new credentials
instance.
|
def with_subject(self, subject):
return self.__class__(
self._signer,
service_account_email=self._service_account_email,
scopes=self._scopes,
token_uri=self._token_uri,
subject=subject,
project_id=self._project_id,
additional_claims=self._additional_claims.copy())
| 315,070
|
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